VERDICT: SAME_STRATEGY (NEARLY_IDENTICAL for turns 1-4) lined-up score: 82/100 (sub-agent)
Same needle-retrieval: print(context[:200]) -> print(len) -> print(context[:1000]) -> find(‘User: ') -> find next 'Assistant:' -> slice to next 'User:' -> prepend required hash -> submit. Turns 1-4 near-verbatim.
Differences: task string+hash; eval spreads confirm->prepend->submit over 3 turns (7 total) while train fuses them (5 total). Both reward 1.0.